AI Spots Hard Hat Violations Before Supervisors Do
AI Spots Hard Hat Violations Before Supervisors Do
Publish Date: 2026-05-22 17:04:00
Source Domain: www.pymnts.com
Construction employs roughly 8% of the private-sector workforce and accounts for about one in five of its fatalities. That ratio has persisted for decades.
The sector is also running short of people. The Associated Builders and Contractors estimated it needs approximately 499,000 additional workers in 2026 to meet demand, with over 80% of contractors reporting difficulty hiring. The U.S. construction market reached $2.2 trillion in 2025, according to Construction Coverage, and the pressure to deliver projects faster with fewer people is pushing firms toward automation.
Artificial intelligence (AI) vendors are answering. Construction and infrastructure companies are deploying generative AI and computer vision tools directly into job-site operations to detect safety risks, automate compliance monitoring and coordinate field teams in real time.
Ferrovial Deploys More Than 30 Agents Across Workflows
Ferrovial, the global infrastructure company behind highways, airports and tunnels across North America and Europe, is among the furthest along. The company deployed more than 30 AI agents into daily workflows using DXC Technology’s AI Workbench platform, built on Microsoft Azure. The agents make real-time decisions across field operations, safety monitoring, regulatory impact assessment and competitive analysis for Ferrovial’s 24,000 employees.
DXC announced the platform in April 2025 with Ferrovial as its anchor client. The deployment represents one of the more concrete examples of agentic AI moving from pilot into production inside a major infrastructure operator.
DroneDeploy, whose reality capture platform is used on more than 3 million sites worldwide, unveiled three operational AI agents in October 2025: Safety AI to detect hazards, Progress AI to track construction sequences and Inspection AI for predictive asset maintenance. James Stripe, DroneDeploy’s chief product officer, said the agents process and reason about data.
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